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<h2 class="titleHead">User Manual of ZPar</h2>
        <div class="author" ><span 
class="cmr-12x-x-120">Yue Zhang </span><span 
class="cmr-12x-x-120">&#x00A0;</span><span 
class="cmr-12x-x-120">&#x00A0;</span><span 
class="cmr-12x-x-120">&#x00A0;          Muhua Zhu</span>
<br /><span 
class="cmr-12x-x-120">frcchang@gmail.com </span><span 
class="cmr-12x-x-120">&#x00A0;    zhumuhua@gmail.com </span></div><br />
<div class="date" ><span 
class="cmr-12x-x-120">May 8, 2013</span></div>
   </div>
   <h3 class="sectionHead"><span class="titlemark">1   </span> <a 
 id="x1-10001"></a>Overview</h3>
<!--l. 16--><p class="noindent" >ZPar is a statistical natural language parser, which performs syntactic analysis
tasks including word segmentation, part-of-speech tagging and parsing. ZPar
supports multiple languages and multiple grammar formalisms. ZPar has been
most heavily developed for Chinese and English, while it provides generic
support for other languages. A Romanian model has been trained for
ZPar 0.2, for example. ZPar currently supports context free grammars
(CFG), dependency grammars and combinatory categorial grammars
(CCG).
<!--l. 20--><p class="noindent" >
   <h3 class="sectionHead"><span class="titlemark">2   </span> <a 
 id="x1-20002"></a>System Requirements</h3>
<!--l. 21--><p class="noindent" >The ZPar software requires the following basic system configuration
      <ul class="itemize1">
      <li class="itemize">Linux or Mac
                                                                          

                                                                          
      </li>
      <li class="itemize">GCC
      </li>
      <li class="itemize">256MB of RAM minimum
      </li>
      <li class="itemize">At least 500MB of hard disk space</li></ul>
<!--l. 29--><p class="noindent" >
   <h3 class="sectionHead"><span class="titlemark">3   </span> <a 
 id="x1-30003"></a>Download and Installation</h3>
<!--l. 31--><p class="noindent" >Download the latest zip files from <a 
href="http://sourceforge.net/projects/zpar/" >sourceforge</a> and move them to your work space.
<br 
class="newline" />You can use ZPar off the shelf by referring to the <a 
href="doc/qs.html" >quick start</a>, or follow
detailed instructions for the compilation, training, and usage of individual
modules.
      <ul class="itemize1">
      <li class="itemize"><a 
href="doc/segmentor.html" >Chinese word segmentation</a>
      </li>
      <li class="itemize"><a 
href="doc/joint_seg_tag.html" >Chinese joint segmentation and POS tagging</a>
      </li>
      <li class="itemize"><a 
href="doc/eng_tagger.html" >English POS tagging</a>
      </li>
      <li class="itemize"><a 
href="doc/deppar.html" >Chinese and English dependency parsing</a>
      </li>
      <li class="itemize"><a 
href="doc/conparser.html" >Chinese and English phrase-structure parsing</a>
      </li>
      <li class="itemize"><a 
href="doc/independent.html" >Language- and Treebank-independent parsers</a>
      </li>
      <li class="itemize"><a 
href="doc/ccg.html" >CCG parsing</a></li></ul>
                                                                          

                                                                          
<!--l. 45--><p class="noindent" >
   <h3 class="sectionHead"><span class="titlemark">4   </span> <a 
 id="x1-40004"></a>License</h3>
<!--l. 47--><p class="noindent" >The software source is under GPL (v.3), and a separate commercial license issued
by Oxford University for non-opensource. Various models available for download
were trained from different text resources, which may require further
licenses.
<!--l. 52--><p class="noindent" >
   <h3 class="likesectionHead"><a 
 id="x1-50004"></a>References</h3>
<!--l. 52--><p class="noindent" >
     <div class="thebibliography">
     <p class="bibitem" ><span class="biblabel">
  [1]<span class="bibsp">&#x00A0;&#x00A0;&#x00A0;</span></span><a 
 id="Xbib-1"></a>Yue Zhang and Stephen Clark. 2011. Syntactic Processing Using the
     Generalized Perceptron and Beam Search. <span 
class="cmti-12">Computational Linguistics</span>,
     37(1):105-151.</p></div>
    
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